Pfizer Streamlines LC/UV/MS Data Processing, Analysis, and Reporting

The Challenge—Messy Data, Too Many Tools

Like many R&D groups, Pfizer’s Small Molecule team was dealing with a patchwork of instruments (some decades old) and a mix of software for processing LC/UV/MS data. As a result: 

• Scientists had to juggle multiple tools with different interfaces

• Data wasn’t standardized across systems

• Important chemical context (like structures and metadata) often got lost

This made analysis and reporting slow, inconsistent, and tough to scale.

A Smoother, Smarter LC/UV/MS Workflow

To boost consistency and simplify workflows, Pfizer’s team switched to Agilent instruments—while continuing to use the Spectrus Processor™ software they already liked. Instead of adding new, costly tools, they focused on making their systems work better together.

To take things a step further, they brought in MS Workbook Suite™ (built on the Spectrus Platform^®).  This added semi-automated processing, easy analysis, custom reporting, and databasing—all helping to streamline their LC/UV/MS workflow without reinventing the wheel.

The Outcome—Faster Workflow, More Time for Science

Before, Pfizer’s PSSM chemists spent a lot of time manually processing LC/UV/MS data—extracting chromatograms, aligning channels, and more. Now, with MS Workbook Suite, tasks that used to take 5–10 minutes per sample only take 1–2minutes—saving hours each week! 

Running up to 30 reactions a day, the team now has more time to focus on optimizing synthesis and reducing impurities. Plus, with all their data (from NMR to LC/MS to PXRD) in one place, and custom reports that easily sync with their ELN, sharing with ARD is quicker and smoother than ever.

After adopting the MS Workbook Suite workflow, Pfizer’s PSSM team has seen clear benefits:

• Time Savings—Data processing now takes half the time it used to

• Simplified Workflow—Processing and reporting are faster, with just a few clicks

• Boosted Productivity—Process chemists can handle more projects without added effort

• Improved Data Quality—Results are more consistent and accurate across the board

Automating routine steps, like pulling files from instruments and handling data processing, has minimized scientists’ repetitive work. This means they are spending less time on busywork, freeing up more time for high-value science—all while boosting accuracy and overall team productivity.

Find out more details about how LC/UV/MS data processing, analysis, and reporting was streamlined using software tools.